Jobs

Senior Data Scientist - SPORTS


Job details
  • Harnham
  • London
  • 2 months ago
Applications closed

SENIOR DATA SCIENTIST - SPORTS PERFORMANCE ANALYTICS

Up to £90,000 + Bonus

LONDON




Ready to elevate your career to new heights? Join our team of experienced Data Scientists and Data Engineers to create impactful models and work with cutting-edge technologies. We aim to become the world's leading provider of performance analytics software in the sports industry, leveraging Machine Learning to optimize athlete performance and team strategies.




The Role:

Your day-to-day responsibilities will include:

  • Deploying Data Science projects that directly impact sports performance and team success.
  • Building Machine Learning algorithms and models using Python to develop innovative performance analytics tools for athletes and coaches.
  • Coding and testing new algorithms for prototype and production applications using Python libraries like TensorFlow and Keras, with a focus on sports-related data.
  • Translating complex sports data into meaningful insights using Python, helping teams make data-driven decisions.
  • Taking the lead in interacting with sports professionals, coaches, and stakeholders to showcase the project.



Your Skills and Experience:

  • MSc or PhD level education in STEM subjects, with a strong focus on sports analytics or a related field.
  • Proven expertise in implementing Machine Learning and clustering techniques specifically tailored to sports performance.
  • Strong commercial experience with Python and data visualization, along with proficient knowledge of Python, R, and Scala, with an emphasis on sports data.
  • Previous commercial exposure to tools such as Keras, TensorFlow, Python, specifically in the context of sports performance analytics.
  • Excellent communication skills and ability to engage with teams, coaches, and sports professionals.



Benefits:

  • Competitive salary range of £80,000 - £90,000.
  • Outstanding career progression opportunities.
  • Flexible working arrangements.



How to Apply:

Register your interest by sending your CV to Luc Simpson-Kent, via the link.

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